Quality Certificate Automation

For a large engineering, procurement and construction company, every incoming batch of material arrives with a quality certificate — and every certificate has to be read, its test values extracted, and each value checked against the applicable specification standard before the material can be used. Chemical properties, mechanical properties, heat-treatment properties: dozens of numbers per certificate, from many vendors, each with their own document format.

Doing that by hand is error-prone in exactly the way engineering cannot afford, and it does not scale. Different vendors and material types defeat template automation, and rising certificate volume turns the quality desk into a bottleneck for the whole procurement flow.

What it does

Botminds runs a certificate-processing pipeline that reads each incoming quality certificate automatically. It extracts the metadata — certificate number, date, material identifiers — and every quality data point across the chemical, mechanical, and heat-treatment property sets, regardless of which vendor produced the document or how they laid it out.

Then comes the part that matters: AI-enabled business rules validate each extracted value against the specification standard it must meet. A tensile strength below spec or a carbon content outside range is flagged, not filed. Results consolidate into a custom export template, so the output drops directly into the format the quality and project teams already use.

Why governed matters

A quality certificate is a compliance document — it exists to prove material fitness, sometimes years later, sometimes in a dispute. Every extracted value stays linked to its position on the source certificate, so any number in the consolidated output can be verified against the original in seconds. Out-of-spec flags go to a human quality engineer for disposition; the platform surfaces the exception, the engineer owns the decision. Certificate volume scales without the verification bar dropping.